Multiple Antenna-Aided Cascaded Energy and Matched Filter Detector for Cognitive Radio Networks is Published in International Journal of Distributed Sensor Networks (IF 1.239)
Paper Title : Multiple Antenna-Aided Cascaded Energy and Matched Filter Detector for Cognitive Radio Networks
Authors: Ashish Rauniyar, Soo Young Shin
Journal Name: International Journal of Distributed Sensor Networks
A new multiple antenna-aided cascaded energy and matched filter detector (MCEM) for cognitive radio networks is proposed. Our proposed scheme is equipped with multiple receive antennas employing energy efficient energy detector (ED) and reliable matched filter (MF) to mitigate the channel fading and increase the detection performance of the secondary users (SUs). Partial decisions are first made by using cascaded energy and matched filter detector (CEM) at each antenna and then the final collaborative decision is made based on those partial decisions. The probability of detection/false alarm of the proposed scheme is presented in terms of the complementary receiver operating characteristics (ROCs). The performance of MCEM scheme is explored via MATLAB simulations that implement the clear channel assessment (CCA) modules for IEEE 802.15.4. Simulation results showed that our proposed MCEM scheme improves the detection performance and is more energy efficient as compared to CEM scheme employing single antenna and other conventional schemes.